AI framework proposed for resilient fresh-produce supply chains

A new paper proposes a framework for evaluating AI-driven controlled environment agriculture (CEA) as resilient infrastructure for U.S. fresh-produce supply chains. The framework, CEA-RIF 2.0, assesses seven dimensions including supply continuity, climate isolation, and cyber-physical reliability. The paper argues that AI enhances resilience by improving operational outcomes like energy flexibility and yield consistency, reframing AI-driven CEA as a cyber-physical infrastructure problem. AI

IMPACT Proposes a framework to enhance the resilience of food supply chains through AI-driven agriculture.

RANK_REASON The cluster contains an academic paper proposing a new framework for AI-driven agriculture. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• AI
• CEA-RIF 2.0
• Controlled Environment Agriculture
• U.S. fresh-produce supply chains

• paper
• product
• infra

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